Almas Kadeshov
Offer Almas work on your next project.
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Offer work 
Nur-Sultan,
Kazakhstan
1 month 13 days back
available for hire
age 32 years
on the service 4 months 7 days
Rating
Successful projects
Average rating
Language proficiency level
Русский: fluent
English: pre-intermediate
Skills and abilities
Programming
- AI & Machine Learning
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Bot Development
from 300 USD for project
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Data Parsing
from 300 USD for project
- Databases & SQL
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HTML & CSS
from 200 USD for project
- Javascript and Typescript
- Python
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Web Programming
from 300 USD for project
Design & art
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Presentations
from 30 USD for unit
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Web Design
from 100 USD for project
Services
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AI Consulting
from 100 USD for day
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Enterprise Resource Planning (ERP)
from 300 USD for project
Writing
Portfolio
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50 USD Financial and personnel accounting system
Enterprise Resource Planning (ERP)
This project is my personal experience working as a financial director in manufacturing. I manually went from chaotic records to a clear accounting system for 30+ employees, 24/7 shifts, and cash reporting. Now I am packaging this experience into automated scripts that do in seconds what I used to spend days on.
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100 USD LeadGen - Automation of the sales funnel from Instagram/TikTok
Enterprise Resource Planning (ERP)
Development of a lightweight CRM system based on Google tools and Telegram Bot API for an online school. The system automates the customer journey from filling out a questionnaire on social media to the first contact on WhatsApp, eliminating delays and loss of leads.
Challenge: Managers manually copied phone numbers from spreadsheets, spent time saving contacts for WhatsApp, and forgot about weekly statistics. This led to "cooling off" of clients and a decrease in conversion to sales.
… The Solution: I developed a script in Google Apps Script that turned a regular spreadsheet into a full-fledged working environment:
One-click Setup: A special menu in the spreadsheet allows one button to create a questionnaire (Google Form), set up triggers, and check the connection with the bot.
Instant parsing and notifications: As soon as a client fills out a questionnaire on Instagram or TikTok, the Telegram bot instantly sends a lead card with the data.
Smart WhatsApp Link: The script automatically cleans the phone number of unnecessary characters and generates a direct link wa.me. The manager just needs to press one button in Telegram or the spreadsheet to start the conversation.
Status management: The spreadsheet has implemented a dropdown list system ("New", "Thinking", "Registered") with automatic color indication.
Analytical robot: Time triggers are set up that send a report on the number of new applications for the week and month every Monday at 9:00 AM.
Technical stack:
Google Apps Script (JavaScript): Logic for handling onFormSubmit events, managing triggers, and dynamically creating forms.
Telegram Bot API: Integration for notifications with Markdown formatting support.
Google Forms: Interface for data collection with phone number validation.
Value for the business:
Response speed: The time to first contact with a client has decreased from several hours to a couple of minutes.
Manager convenience: Absence of routine in dialing numbers and rewriting data from the form.
Marketing control: The manager always sees up-to-date statistics on traffic sources (Insta/TikTok) in weekly reports.
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100 USD Financial model and unit economics of the Fintech project BNPL
Enterprise Resource Planning (ERP)
Development of a detailed investment model for launching a business selling devices (iPhone) on an installment basis using the BNPL (Buy Now, Pay Later) model. The model allows for forecasting profitability, assessing the risks of defaults, and calculating the necessary working capital for 12 months.
What is implemented in the model:
… Unit economics: Calculation of profitability from each sold device considering the purchase price, markup, and initial payment.
Cash Flow Forecast: Forecast of cash flow for the year ahead, taking into account the reinvestment of profits into the purchase of new goods.
Risk Management: The model includes a Bad Debt ratio (default risk of 5%), which allows for seeing real, not paper, profit.
Portfolio analysis: Calculation of the growth of accounts receivable ("debt portfolio") and its liquidity.
Investment indicators: Automatic calculation of ROI (179.8% per annum) and net profit with a specified starting capital (10 million ₸).
Technical stack:
Financial modeling: Building complex dependencies between inventory turnover and accounts receivable recovery.
Google Sheets / Excel: Use of forecasting formulas and scenario analysis.
Result: A ready business plan with clear answers to the questions:
What amount will be "stuck" in customer debts after a year?
How many iPhones need to be sold per month to double the capital?
What payment shortfall can the business withstand before a cash gap occurs?
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100 USD Automated Engineering Planner (Gantt Chart Engine)
Enterprise Resource Planning (ERP)
Development and implementation of an intelligent planning system for the construction of a multi-story residential complex ("La Familia", 9 floors, 150 apartments). The system automatically transforms a list of 80+ engineering tasks into a visual Gantt chart highlighting the critical path.
What "pain" are we solving?
In large construction projects, manually updating the Gantt chart with the slightest shift in deadlines takes hours. Without visualization, the manager cannot see the "bottleneck" — the very task that can halt the entire project.
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What has been implemented (Technical part):
Automatic generation (Engine): A custom script written in JavaScript (GAS) that builds a calendar grid in seconds, highlighting weekends and holidays.
Smart visualization: The script automatically draws task "bars," taking into account their duration and technological dependencies.
Critical path (Critical Path Method): Automatic highlighting of key tasks in red. If a task on the critical path shifts — this is an SOS signal for management.
Interactive Dashboard:
"Statistics" button: instant calculation of the % completion of the project and the number of problem areas.
"Today" button: a red line on the chart showing actual progress relative to the plan.
Legend: a custom HTML window with descriptions of the areas of responsibility of departments (PTO, Supply, Construction, Accounting).
Technical stack:
Google Apps Script (JavaScript): Logic for drawing, working with date objects, and dynamic formatting.
HTML/CSS: Creating user interfaces and modal windows within tables.
Excel/Sheets Pro: Using complex algorithms to calculate intersections and deadlines.
Result for the business:
Speed: The creation and updating of the Gantt chart have been reduced from 6-8 hours to 10 seconds.
Control: The manager sees not just a to-do list, but a living organism of the project, where all risks are highlighted.
Synchronization: 11 departments work in a unified rhythm, seeing each other's deadlines in real time.
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Automated BI system for management/accounting of fixed assets, cash flow, balance sheet
Data Parsing
Development of a complex financial accounting architecture for the construction business. The system automatically transforms "raw" transaction data into three main reports for the owner (P&L, Cash Flow, Balance), eliminating the need for a staff of financial analysts.
What has been implemented (The Architecture):
… Three-tier data model:
Raw Data Layer: Collection of "raw" data through forms and imports (PTO, SCM, Banks).
Marts Layer (Data Warehouses): Automatic normalization and distribution of data across registers (P&L, Cash Flow, Balance).
Dashboard Layer: Visual interactive reports with filtering by projects and periods.
The Big Three Reports:
P&L (Profit and Loss): Accrual basis profit and loss report (Revenue, COGS, OPEX, Gross and Net Profit).
Cash Flow: Direct method cash flow statement by three types of activities (Operating, Investing, Financing).
Balance Sheet: Real-time control of assets (cash, receivables) and liabilities with automatic verification "Assets = Liabilities".
Security and Audit: Implementation of Audit Log, which records who made changes to the system and when — a critically important feature for financial software.
Technical Stack:
Google Sheets Pro: Use of highly complex formulas for data normalization.
Data Modeling: Building relationships between directories (Projects, Expense Items, Partners, Wallets).
BI Logic: Automatic recalculation of financial indicators when filters are changed.
Result for the business:
Financial Transparency: The owner sees real profit and cash gaps on one screen.
Project Accounting: Ability to see the margin of each individual object (NVC, OVC) instantly.
Data Accuracy: Automation has eliminated manual entry errors and "drawing" numbers in reports.
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100 USD Smart timesheet: Automated time tracking system
Enterprise Resource Planning (ERP)
Development and implementation of a time tracking system for a distributed team. The solution allowed for a complete abandonment of paper logs and provided the manager with instant control over discipline at the sites.
What has been implemented (Action):
… Check-in interface: Employees record their arrival through Google Forms. The data is instantly processed by a script.
Intelligent Backend (Apps Script): The system automatically checks the timestamp against the individual schedule of the employee (takes into account different shifts and personal schedules).
Instant control via Telegram: The bot immediately sends a message to the manager: who arrived, the exact time, and status (on time or late).
Morning "Report": Automatic dispatch at 9:10 with a summary: who is present, who has not checked in yet, and the total number of late arrivals for the morning.
Auto-generation of the timesheet: The system automatically creates a sheet for the new month, colors the cells, and pulls data from the form responses.
Absence tracking: Functionality has been added for marking sick leaves, vacations, and business trips through a custom menu in the sheet itself.
Technical stack:
Google Apps Script (JavaScript): Processing logic, triggers, and calculations.
Telegram Bot API: Integration for notifications and reports.
Google Sheets: Used as a database and interface for accounting.
Result (Value):
Transparency: The manager sees the real picture of attendance in real time, without being on site.
Discipline: Automatic recording of late arrivals increased executive discipline by 25% in the first month.
Time savings: Collecting and compiling the timesheet for accounting now happens automatically, saving up to 10 working hours for the manager per month.
What to attach as photos/files:
Screenshot from Telegram: Take a screenshot where the bot writes: LATE | Nartai | 09:15. This is the most illustrative part.
Screenshot of the "Timesheet": Show the sheet where the cells are colored in different colors (green, red, blue for sick leaves).
Screenshot of the code: Take a nice screenshot of the function sendMorningReport or onFormSubmit. This will confirm your qualifications as a developer.
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Automation of operational accounting: from construction control to calculation
Enterprise Resource Planning (ERP)
Development and implementation of a comprehensive business management system based on Google Sheets. The system replaces expensive software and combines personnel management, property control, and financial analytics in a single interface.
What has been done (Action):
I designed the architecture of the system, which includes the following modules:
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Project Management: Tracking properties (residential complexes, business centers) with monitoring of profitability (goal ≥20%), Gantt charts, and checkpoints.
HR and Functional Responsibility Zones: Employee database with grading, clear distribution of areas of responsibility, and Critical Success Factors (CSFs).
Quality Control System (Defects Log): Automated system for recording violations (deadline breaches, defects, errors in technical supervision), which directly affects payments.
Automatic Payroll Calculation: Complex algorithm that calculates the final payment in one click using the formula: Salary + Bonus (based on KPIs) - Penalties.
Owner's Dashboard: Visualization of key metrics: income, progress on properties, performance discipline, and safety (0 injuries).
Technical Stack:
Google Sheets: Deep use of QUERY, FILTER, ArrayFormula, and named ranges.
Business Logic: Building the system based on management accounting and KPI motivation.
Integrations: Logic of relationships between sheets, excluding data duplication.
Result:
Transparency: The owner sees the real margin for each project and the efficiency of each employee in real-time.
Time Savings: Time spent on payroll calculation and report verification has been significantly reduced thanks to automation of inter-departmental connections.
Discipline: The implementation of the "Defects Log" has reduced the number of reworks and deadline breaches by directly linking work quality to bonuses.
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1500 USD MVP of the educational platform OQU
Web Programming
Project Name: OQU — Interactive Platform for Reading Education (Flutter MVP)
Case Description:
Concept and Audience: Development of a cross-platform mobile application for children aged 5–7, teaching reading in the Kazakh language through game mechanics of sound blending.
… Technology Stack (Modern Flutter):
Framework: Flutter (Dart) for cross-platform compatibility.
Architecture: Riverpod (state management) and GoRouter (navigation).
Multimedia: Audioplayers for complex sound logic and tactile feedback (vibration).
Key Implemented Modules:
Core System (Syllable Engine): An interactive engine for blending letters through drag-and-drop with a magnetic effect and dynamic looping of consonant sounds during dragging.
Pedagogical Prompter (Parent Whisperer): A unique interface for parents with ready-made scripts and standard pronunciation, helping to teach the child correctly.
Design System "Digital Steppe": A unique UI in Kazakh national style (elements of a yurt, shanyrak), where color coding of letters helps the child intuitively distinguish between vowels and consonants.
Content Level: The first level has been fully implemented (8 lessons with sonorous consonants).
Current Status: The project is at the functional MVP stage. All basic mechanics and visual components have been implemented. Planned (Backlog) — implementation of AI for voice recognition (Soyle API) and extended gamification (Sandyk).
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1500 USD ERP for construction companies
Web Programming
ERP for managing an engineering and construction company
Task: Develop a unified management system for a company specializing in engineering networks (HVAC, plumbing, utilities) to replace fragmented Excel spreadsheets and digitize operational and financial accounting.
What has been implemented:
…
Engineering calculations module: Automation of specifications and calculations for heating, ventilation, and water supply systems.
Management accounting: Implementation of financial control tools similar to those I used in my role as CFO (P&L, cost monitoring).
Data architecture: Fast and scalable database on Firestore, providing real-time access to projects.
AI integration: Connection of Google Gemini API for automating the analysis of project data and assisting in decision-making.
Interface: Web application on Node.js with intuitive access for managers and engineers.
Result: The system completely eliminates the human factor in estimating costs, integrates the work of the project department with finance, and provides management with a transparent view of the profitability of each project.
Technology stack: Node.js, Firestore, Gemini AI.
Activity
| Latest proposals 7 | Budget | Added | Deadlines | Proposal | |
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Optimization of company reporting (Bitrix24 → Google Sheets / Automation / AI)
190 USD
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Extension for Google Chrome
100 USD
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Setting up a chat bot in Telegram
116 USD
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Telegram bot + Google Sheets for a cleaning company (via Make)
58 USD
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Shopify specialist
1000 USD
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Development of a website that will replace the current workflow in the company (Sharepoint -> Excel -> Power Bi)
5400 USD
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Filling out 40 medical surveys in Google Forms (Polish language)
21 USD
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